Thirty replicates of 200 nuclear families (6 members each) were generated under three GxE interaction models. Segregation analyses of these data were performed using a regressive model taking into account an interaction effect or not. Results showed that ignoring the GxE interaction markedly decreased the power for accepting a major gene and led to serious bias in parameter estimates.